/* * This example trains a neural network to solve the XOR problem */ var evo = require('evo-js'); var population= evo.population(); population.on('run', function(genes){ // Create a neural network var net = evo.network('feedforward', genes, { output_nodes: 1, hidden_nodes: 2, input_nodes: 2 }); // Create a score based on the networks output var score = 0; score += net.calc([-1, -1]) > 0 ? 1 : 0; score += net.calc([ 1, 1]) > 0 ? 1 : 0; score += net.calc([ 1, -1]) < 0 ? 1 : 0; score += net.calc([-1, 1]) < 0 ? 1 : 0; return score; }); // Run until score is 3.5 or greater population.run({ score: 3.5 }); console.log("Took " + population.generation + " generations to reach a score of " + population.average);